Development and Application of a Vertical-Agnostic Methodological Assessment Framework for Evaluation of 5G-Based Use Cases
Electronics, vol. 14, pp. 4771
Abstract
This paper addresses the industrial adoption gap of 5G/6G by presenting a novel, vertical-agnostic Methodological Assessment Framework (MAF). The MAF bridges the Network Key Performance Indicators (KPI) of 5G networks with user-centric User-KPIs and User-KVIs (Key Value Indicators) to quantify the techno-economic and societal value propositions of industrial 5G use cases from an end-user perspective. First, a detailed description of the MAF and its underlying principles is given, explaining how a use case’s value proposition can be captured. Second, the MAF is applied to three different industrial use cases from the verticals manufacturing, construction, and automotive utilizing the individual User-KPI and User-KVI for the quantification of the individual value propositions. The results show that the use of 5G can lead to enhanced process capability and reproducibility as well as increased insights into different processes. In addition, it is shown that the MAF objectively quantifies user value across diverse verticals and is able to strengthen interdisciplinary alignment over different verticals.
Authors 7
-
Fraunhofer Institute for Production Technology IPT
Affiliation as printed
Fraunhofer Institute for Production Technology IPT, 52074 Aachen, Germany
-
Fraunhofer Institute for Production Technology IPT
Affiliation as printed
Fraunhofer Institute for Production Technology IPT, 52074 Aachen, Germany
-
Fraunhofer Institute for Production Technology IPT
Affiliation as printed
Fraunhofer Institute for Production Technology IPT, 52074 Aachen, Germany
-
Fraunhofer Institute for Production Technology IPT
Affiliation as printed
Fraunhofer Institute for Production Technology IPT, 52074 Aachen, Germany
-
Affiliation as printed
Construction Robotics GmbH, 52074 Aachen, Germany
-
Affiliation as printed
Chair for Individualized Production (IP), RWTH Aachen University, 52074 Aachen, Germany
Construction Robotics GmbH, 52074 Aachen, Germany
-
Affiliation as printed
i2CAT Foundation, 08034 Barcelona, Spain
Cited by 0 stored of 0
No patents citing this paper on Lens.org (checked 2026-10-06).
References 26
-
W2783728380details pending0citations
-
W3129311377details pending0citations
-
W3183737582details pending0citations
-
W3189618217details pending0citations
-
W2168520480details pending0citations
-
W2501076132details pending0citations
-
W2800201683details pending0citations
-
W3136091139details pending0citations
-
W3154184633details pending0citations
-
W3197065115details pending0citations
-
W4221039772details pending0citations
-
W4231240622details pending0citations
-
W4285272167details pending0citations
-
W4308419933details pending0citations
-
W4313048927details pending0citations
-
W4321019277details pending0citations
-
W4380738543details pending0citations
-
W4390828570details pending0citations
-
W4395697188details pending0citations